Evidence map›Paper›PMID 33299549›Full record

ArticleF1000Research2020

Case Report: Renal potassium wasting in SARS-CoV-2 infection.

Holly Mabillard, Hilary Tedd, Ally Speight, Christopher Duncan, David A Price, John A Sayer

Open access · goldAbstract readCase Reports
In one paragraph

Article in F1000Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 3 countries.

Holly MabillardRenal Services, The Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, Tyne and Wear, NE77DN, UK.
Hilary TeddDepartment of Respiratory Medicine, The Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, Tyne and Wear, NE14LP, UK.
Ally SpeightDepartment of Gastroenterology, The Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, Tyne and Wear, NE14LP, UK.ORCID 0000-0003-3184-9181
Christopher DuncanDepartment of Infection and Tropical Medicine, The Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, Tyne and Wear, NE14LP, UK.
David A PriceDepartment of Infection and Tropical Medicine, The Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, Tyne and Wear, NE14LP, UK.
John A SayerRenal Services, The Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, Tyne and Wear, NE77DN, UK.ORCID 0000-0003-1881-3782
Newcastle upon Tyne Hospitals NHS Foundation Trust · GB

Funding

Wellcome Trust 211153/Z/18/Z
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is associated with many potentially fatal complications. Renal involvement in various forms is common in addition to serum electrolyte disturbances. Early reports suggest that hypokalaemia may frequent those with SARS-CoV-2 infection and various aetiological factors may cause this electrolyte disturbance. A Chinese retrospective study has demonstrated renal potassium wasting in patients infected with SARS-CoV-2, however, it is not known if these patients were receiving diuretic therapy which may be a contributing factor. This case report illustrates an example of renal potassium wasting in SARS-CoV-2 infection in the absence of diuretics and extra-renal mechanisms with important lessons learned.

Indexed as

COVID-19HumansKidneyKidney DiseasesPotassiumPotassium DeficiencyRetrospective StudiesSARS-CoV-2PotassiumCOVID-19hypokalaemiapotassiumtubulopathy

Identifiers

PMID33299549
PMCPMC7702164
OpenAlexW3039270156

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.